blog
Articles
Ideas, evidence and findings on what happens when educators create their own evidence of teaching and learning.
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Professional practice is changing
Professionals were once trusted to work independently based on their expertise. Today, professionalism means recording your work: to check your judgement, give AI context, and create useful documentation. This shift is happening across sales, technology, law enforcement, and healthcare. As AI reshapes instruction and assessment, education is next.
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Teaching remains deeply human
Whether classrooms embrace technology or remain largely tech-free, teaching depends on things data rarely captures: judgment, context, relationships, adaptation and more. Without an evidence base for this human work, it can’t adequately shape practice or policy. If teachers don’t build evidence for their work, then others will build mandates and policy for them.
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Data is driving mistrust in schools
Schools have more data than ever, but too little of it reflects the reality of classrooms. Put that data in the hands of people working far from the classroom, and what do you get? A growing trust gap between teachers, leaders, coaches, parents—even students. Relationships alone are no longer enough to bridge it, making meaningful change increasingly difficult.
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Learning now needs to be verified
Every platform produces data about learning, but it’s all a proxy for the real thing—and AI makes those signals easier than ever to fake or cheat. Learning can’t just be measured; it has to be observed in what students can explain, create, apply and do. That means capturing classrooms so teachers can revisit what they couldn’t practically see live, and feedback to help teachers create instructional experiences that make learning observable.